Health> Vol.5 No.11, November 2013

Validation of general linear modeling for identifying factors associated with Quality of Life: A comparison with structural equation modeling

DownloadDownload as PDF (Size:186KB)  HTML    PP. 1884-1888  

ABSTRACT

Purpose: General linear modeling (GLM) is usually applied to investigate factors associated with the domains of Quality of Life (QOL). A summation score in a specific sub-domain is regressed by a statistical model including factors that are associated with the sub-domain. However, using the summation score ignores the influence of individual questions. Structural equation modeling (SEM) can account for the influence of each question’s score by compositing a latent variable from each question of a sub-domain. The objective of this study is to determine whether a conventional approach such as GLM, with its use of the summation score, is valid from the standpoint of the SEM approach. Method: We used the Japanese version of the Maugeri Foundation Respiratory Failure Questionnaire, a QOL measure, on 94 patients with heart failure. The daily activity sub-domain of the questionnaire was selected together with its four accompanying factors, namely, living together, occupation, gender, and the New York Heart Association’s cardiac function scale (NYHA). The association level between individual factors and the daily activity sub-domain was estimated using SEM and GLM, respectively. The standard partial regression coefficients of GLM and standardized path coefficients of SEM were compared. If these coefficients were similar (absolute value of the difference <0.05), we concluded that GLM was valid, as well as the SEM approach. Results: The estimates of living together were 0.06 and 0.07 for the GLM and SEM. Likewise, the estimates of occupation, gender, and NYHA were 0.18 and 0.20, 0.08 and 0.08, 0.51 and 0.54, respectively. The absolute values of the difference for each factor were 0.01, 0.02, 0.00, and 0.03, respectively. All differences were less than 0.05. This means that these two approaches lead to similar conclusions. Conclusion: GLM is a valid method for exploring association factors with a domain in QOL.

Cite this paper

Kumagai, N. , Hatta, M. , Okuhara, Y. and Origasa, H. (2013) Validation of general linear modeling for identifying factors associated with Quality of Life: A comparison with structural equation modeling. Health, 5, 1884-1888. doi: 10.4236/health.2013.511254.

References

[1] Ferrell, B.R. and Hassey, D.K. (1997) Quality of life among long-term cancer survivors. Oncology, 11, 565-571.
[2] Fayers, P.M. and Machin, D. (2005) Quality of life: The assessment, analysis and interpretation of patient-reported outcomes, Japanese version. Nakayama Shoten Co., Ltd., Tokyo.
[3] Shan, D., Ge, Z., Ming, S., Wang, L., Sante, M., et al. (2011) Quality of life and related factors among HIV-positive spouses from serodiscordant couples under antiretroviral therapy in Henan Province, China. PLoS One, 6, e21839. http://dx.doi.org/10.1371/journal.pone.0021839
[4] Lopes, J.B., Fung, L.K., Cha, C.C., Gabriel, G.M., Takayama, L., Figueiredo, C.P. and Pereira, R.M. (2012) The impact of asymptomatic vertebral fractures on quality of life in older community-dwelling women: The Sao Paulo Ageing & Health Study. Clinics, (Sao Paulo), 67, 1401-1406. http://dx.doi.org/10.6061/clinics/2012(12)09
[5] Hatta, M., Joho, S., Inoue, H. and Origasa, H. (2009) A health-related quality of life questionnaire in symptomatic patients with heart failure: Validity and reliability of a Japanese version of the MRF28. Journal of Cardiology, 53, 117-126. http://dx.doi.org/10.1016/j.jjcc.2008.09.011
[6] Hu, L. and Bentler, P.M. (1999) Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55.
http://dx.doi.org/10.1080/10705519909540118
[7] Hoelter, D.R. (1983) The analysis of covariance structures: Goodness-of-fit indices, sociological. Methods and Research, 11, 325-344.
http://dx.doi.org/10.1177/0049124183011003003
[8] Altman, D.G. and Bland J.M. (1997) Cronbach’s alpha. British Medical Journal, 314, 572.
http://dx.doi.org/10.1136/bmj.314.7080.572

comments powered by Disqus

Copyright © 2014 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.